Serverless Computing CLOUD-DIGITAL-LEADER Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A university IT team maintains a student portal that runs on a set of VMs. The team spends significant time on OS patching, load balancer configuration, and capacity planning. They want to modernize the portal to free up time for developing new student services. The portal is a standard web application with no special infrastructure requirements. What is the most effective modernization step?

   • AMove the portal to Cloud Functions
   • BIncrease the number of VMs to handle peak load
   • CMigrate the portal to App Engine
   • DAutomate the patching process with a configuration management tool
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   Which benefit of serverless computing most directly supports faster application development?

   • AApplications are automatically converted to a microservices architecture.
   • BThe platform provides automatic backups of the application data.
   • CDevelopers no longer need to write application code.
   • DDevelopers can focus on writing code instead of managing servers.
   Reveal Solution Discussion Select an answer first
4. 28foundation · easy

   What is a key availability benefit of serverless computing?

   • AYou must configure a load balancer and health checks yourself.
   • BThe platform guarantees 100% uptime.
   • CYou must deploy your application to multiple regions manually.
   • DThe platform provides built-in redundancy and failover.
   Reveal Solution Discussion Select an answer first
5. 29foundation · easy

   Which characteristic is true of App Engine?

   • AIt requires you to deploy your application as a container.
   • BIt requires you to manage the underlying virtual machines.
   • CIt automatically scales your application based on traffic.
   • DIt only supports applications written in Go.
   Reveal Solution Discussion Select an answer first
6. 30application · medium

   A software agency has a team of five developers who currently spend about 30% of their time managing Kubernetes clusters for client projects. The agency wants to redirect that time toward building features. They need a solution that still supports containerized applications and minimizes infrastructure work. What should they do?

   • AUse Cloud Functions for all client workloads regardless of their nature
   • BKeep using Kubernetes but hire a dedicated platform engineer
   • CMove containerized workloads to Cloud Run, which manages the underlying infrastructure
   • DSwitch to App Engine and rewrite all applications in Python
   Reveal Solution Discussion Select an answer first